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Quantification of Hypotony Maculopathy Using Spectral-domain Optical Coherence Tomography.

Rémy DumasMagaly LacourseRabea KassemMark R LeskSantiago Costantino
Published in: Journal of glaucoma (2022)
The tool we introduce, and openly provide, fills a clinical gap to quantitatively grade hypotony maculopathy. It offers a metric of relatively simple interpretation that can be used to help clinicians in cases where regression of symptoms is not obvious to the naked eye. Our pilot study demonstrates reliable results, and an open-source implementation facilitates easy improvements to our algorithm.
Keyphrases
  • optical coherence tomography
  • diabetic retinopathy
  • primary care
  • machine learning
  • healthcare
  • deep learning
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  • quality improvement
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  • depressive symptoms